最新的Oracle Responsys Marketing Platform Cloud Service 2017 Implementation Essentials - 1z1-477免費考試真題

A. Create a form rule to trigger a custom event. Set up a program to listen for this customer event, wait for 24 hours, then send the follow-up email offer.

B. Create a form rule that directs the new customer to a URL so they can enter their email address and request the discount coupon.

C. Create a form rule that schedules a transactional email campaign with the offer 24 hours after each form submission.

D. Create a form rule to populate a table with the submitted data, then schedule a campaign 24 hours later to send all newly entered subscribers the follow-up email.

E. Create a form rule to trigger a follow-up email message to the form submitter. In the form rule, specify a 24-hour delay before sending the email.

A. An Event Data Feed export can be created to run on a daily basis with Opt-In and Opt- Out event types selected.

B. An export of the profile list can be done on a daily basis. From this file, the Opt-In and Opt-Out can be extracted using a tool such as Excel.

C. In Program, you can use the SetData element to set this value to a supplemental table created to collect this information. The supplemental table can then be exported on a daily basis.

D. Create a SQL view that retrieves the Opt value column. Using Oracle Database Developer, connect to your Responsys database and pull the view data.

A. Take the latest CED report to locate all soft-bounced addresses. Run a Connect job to change the DELIVERABILITY_STATUS_ field to U for those addresses so that messages will no longer be sent to that email address.

B. Create a filter of all soft-bounced addresses for the last three email launches, save it as a PET, and use that as a suppression table for all email campaigns for the month.

C. When defining audiences for the next month, add criteria in Filter Designer to suppress all email addresses that have soft bounced in the last 30 days.

D. Manually change the DEVERABILITY_STATUS_ field to Undeliverable for any email that soft bounces.

A. Avoid sending to addresses that have not registered an open or a click in the last six months because they may be likely to hit the spam button or be spam traps.

B. Avoid sending to subscribers who have opened or clicked in the last few days because they may not respond to an email message again so soon.

C. Avoid sending to subscribers who are also receiving transactional emails because they may unsubscribe because they are likely to feel over-messaged from your brand or company.

D. Avoid sending to subscribers who have recently opted-in because they do not have a proven history of engagement.

A. Navigate to the Workbook and click the EMD button.

B. Navigate to the Workbook and click the Version Test button.

C. Navigate to the Version Test screen and click the Workbook button.

D. Navigate to the Workbook and click the Validate button.

A. Create the Entry Tracking variable, configure how to populate the value, and then configure an Entry Tracking Variable element that uses conditions.

B. Create the Entry Tracking variable, configure how to populate the value, and then code an IF/ELSE RPL statement in the campaign.

C. Create a Standard Filter Definition, configure a Data Switch, and then create a Program Entry Variable Filter Definition.

D. Create the Entry Tracking variable, configure how to populate the value, and then configure a Data Switch using the Filter with program variables option.

A. Because the final purchase was made by a visit directly to the webpage, the purchase isconsidered a web transaction and no email attribution is registered.

B. The purchase transaction is attributed to both email campaigns.

C. The purchase transaction is attributed to the second campaign (most recent) that the recipient opened and clicked.

D. The purchase transaction is attributed to the first campaign that the recipient opened and clicked.

A. Secure

B. Master

C. Private

D. Public